Erlangen, Germany

Friedrich-Alexander-Universität Erlangen-Nürnberg

Friedrich-Alexander-Universität Erlangen-Nürnberg is listed as QS 2026 rank 232. Friedrich-Alexander-Universität Erlangen-Nürnberg has 6 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

Friedrich-Alexander-Universität Erlangen-Nürnberg is listed as QS 2026 rank 232. Friedrich-Alexander-Universität Erlangen-Nürnberg has 6 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Friedrich-Alexander-Universität Erlangen-Nürnberg as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/friedrich-alexander-universitat-erlangen-nurnberg.json. The entity-level confidence is 95%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes Source status claims.
  • Evidence includes Privacy claims.
  • Evidence includes Teaching claims.
  • No specific AI service name is highlighted by the current public claim text.
  • Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims6Reviewed6Candidate0Official sources3

This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.

This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.

Policy profile

Deterministic source-backed dimensions derived from this record's public claims.

Coverage score90/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence78%

Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.

Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.

Coursework

Friedrich-Alexander-Universität Erlangen-Nürnberg has 1 source-backed public claim for coursework; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

Privacy and data entry

Friedrich-Alexander-Universität Erlangen-Nürnberg has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence77%Evidence1Sources1

Approved tools

No source-backed public claim identifying approved or licensed AI tools is present in this profile.

The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Named AI services

Friedrich-Alexander-Universität Erlangen-Nürnberg has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence77%Evidence1Sources1

Research guidance

No source-backed public claim about research AI use is present in this profile.

The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Security and procurement

No source-backed public claim about AI security review or procurement is present in this profile.

The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.

Evidence-backed claims

6 reviewed evidence-backed public claim

Academic Integrity

FAU's central exams page states that if AI is not expressly permitted in exams, especially written papers, it is an unauthorized aid and can lead to the exam being failed for deception.

Review: Agent reviewedConfidence95%

Normalized value: ai_unless_expressly_allowed_is_unauthorized_aid

Original evidence

Evidence 1
Sofern künstliche Intelligenz nicht ausdrücklich erlaubt ist, stellt sie ein unzulässiges Hilfsmittel. Dies wiederum hat zur Folge, dass die Prüfung wegen Täuschung als nicht bestanden gilt.

Localized display only

FAU says AI is an unauthorized aid unless expressly permitted, and the exam is failed for deception.

Source Status

FAU describes its AI-in-teaching guidelines as orientation and inspiration and states that they do not have Satzungscharakter; teaching and exam-related rules remain part of the individual study and examination regulations.

Review: Agent reviewedConfidence93%

Normalized value: guidance_not_statute

Original evidence

Evidence 1
Die Leitlinien für KI in der Lehre an der FAU haben keinen Satzungscharakter. Lehr- und prüfungsbezogene Regelungen sind Teil der einzelnen Studien- und Prüfungsordnungen

Localized display only

FAU says the AI-in-teaching guidelines do not have statute character, and teaching/exam rules belong to individual study and examination regulations.

Academic Integrity

FAU guidance says instructors are responsible for clear AI-use rules in teaching activities, especially exams, and that students must disclose generative AI use according to the relevant course rules.

Review: Agent reviewedConfidence92%

Normalized value: course_rules_and_disclosure

Original evidence

Evidence 1
Lehrende sind verantwortlich für die klare Regelung des KI-Einsatzes in sämtlichen Lehraktivitäten, insbesondere in Prüfungen. Sie müssen für die Prüfungsszenarien in ihren Lehrveranstaltungen verbindliche Vorgaben festlegen

Localized display only

FAU says instructors are responsible for clear AI-use rules, especially in exams, and must set binding requirements for exam scenarios.

Privacy

FAU guidance tells users to choose AI tools with data-protection compliance and not to enter personal, confidential, copyright-protected, or personal data into AI systems.

Review: Agent reviewedConfidence91%

Normalized value: avoid_personal_confidential_data_in_ai

Original evidence

Evidence 1
Geben Sie keine personenbezogenen oder vertraulichen Informationen, insbesondere urheberrechtlich geschützte oder personenbezogene Daten, in KI-Systeme ein.

Localized display only

FAU says not to enter personal or confidential information, especially copyrighted or personal data, into AI systems.

Academic Integrity

FAU's AI-in-teaching guidance says examiners must individually determine and announce whether and how AI-supported aids may be used, and students must disclose the aids used.

Review: Agent reviewedConfidence91%

Normalized value: examiner_sets_and_communicates_ai_rules

Original evidence

Evidence 1
Prüfende müssen für jede Prüfung individuell festlegen und bekannt geben, ob und in welcher Form (KI-gestützte) Hilfsmittel genutzt werden dürfen, und diese Vorgaben den Studierenden eindeutig kommunizieren. In jedem Fall sind die verwendeten Hilfsmittel von den Studierenden offenzulegen.

Localized display only

FAU says examiners must set and communicate AI-aid rules for each exam, and students must disclose the aids used.

Teaching

FAU frames generative AI as support for innovative teaching practices that can strengthen didactic value while preserving academic integrity.

Review: Agent reviewedConfidence90%

Normalized value: responsible_ai_teaching_guidance

Original evidence

Evidence 1
KI ermöglicht neue Lehr- und Lernformate, die sowohl Lehrenden als auch Studierenden erweiterte Möglichkeiten eröffnen. Sie kann interdisziplinäre Zusammenarbeit und eine zukunftsorientierte, vernetzte Lehr- und Lernkultur unterstützen, die die akademische Integrität wahrt und den didaktischen Mehrwert stärkt.

Localized display only

FAU says AI can support a connected teaching and learning culture that preserves academic integrity and strengthens didactic value.

Candidate claims

0 machine or needs-review claim

Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.

Official sources

3 source attribution

Change log

Source-check timeline and diff-style claim/evidence preview.

View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.

Last checkedMay 15, 2026Last changedMay 15, 2026Open change log

Corrections and missing evidence

Corrections create review tasks and do not directly change this public record.

If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.

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